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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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LLMs1 min read
arXiv:2609.11117v1 Announce Type: new Abstract: Reproducibility is essential to scientific progress, yet the growing volume and complexity of scientific publications make exhaustive manual verification increasingly impractical. Although ...
From arXiv cs.CL
Research1 min read
OpenDiscoveryTrace provides a public dataset of 558 AI scientist trajectories, capturing the reasoning process of 124 scientific tasks across drug discovery and other domains. Analysis reveals significant behavioral differences between models, particularly highlighting error profiles and confidence levels, enabling more robust evaluation.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
From arXiv cs.AI
LLMs1 min read
SurveyAgent-HKA is a new multi-agent framework that generates scientific surveys by combining LLMs with human knowledge augmentation. Experiments demonstrate improved citation quality, structural consistency, and content quality compared to baseline approaches.
From arXiv cs.CL
Models1 min read
An MIT researcher utilizes GPT-5.6 Sol and Codex to autonomously execute quantum experiments, process data, and adjust qubits. This demonstrates a potential application of large language models in complex scientific workflows.
From OpenAI news
LLMs1 min read
A distributional theory explains how large language models incorporate external evidence, revealing that model responses are influenced by prior beliefs and evidence characteristics across multiple domains.
From arXiv cs.CL
Models1 min read
GPT-6 Astra is announced as the most intelligent and aligned model from OpenAI, with enhanced abilities in computer use, coding, cybersecurity, and science.
From OpenAI news
LLMs1 min read
NVIDIA's CUDA remains central to GPU-accelerated computing, supporting scientific simulations and AI training. This article provides a detailed optimization process for CUDA workflows.
From NVIDIA technical blog
LLMs1 min read
Claude Fable 5.1 achieves a 52.6% score on the Terminal-Bench-Science 0.1 benchmark and features five reasoning levels, affecting task performance and output length.
From Simon Willison
AI1 min read
Julia has millions of users worldwide, supporting research and development in fields like drug design and engineering.
From MIT News: artificial intelligence
LLMs1 min read
NVIDIA ALCHEMI Toolkit utilizes AI coding agents to streamline atomistic simulation workflows, combining scientific knowledge with compute-efficient implementation. This enables faster, more accessible materials research by providing accessible interfaces for simulation.
From NVIDIA technical blog
Research1 min read
Google commits $40M in AI tokens and credits for the Genesis Mission
From Google DeepMind blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
